Presentation information

Interactive Session

General Session » Interactive Session

[2Xin5] インタラクティブ1

Wed. Jun 9, 2021 5:20 PM - 7:00 PM Room X (Poster room 1)

[2Xin5-19] Detection of change of seasonal variation of vegetation index obtained by satellite images

〇Kimikazu Tanase1, Rie Honda1 (1.Kochi Univerisity)

Keywords:satellite Image, modelling of spatio-temporal change, vegetation index, modeling, distributed computing

Statisitcal modelling method for seasonal change of vegetation indices is developed. The seasonal change of vegetation indices is modelled by segmented logistic functions and their parameters are determined by Maximum a posterior method by using their prior probability. Furthermore, obtained parameters are clustered by using k-means. Change of the vegetation at a specific point is detected by the discrepancy between most frequent cluster ID and the cluster ID of a specific year.

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